Put simply, data literacy is the ability to translate data into insights, a capability that every technology buyer is seeking this year. The importance of data has been well established and technology leaders understand the value sitting dormant in their ever-growing databases. When researching the right application for their teams, features that boost data literacy will be front of mind for your buyers.

We previously announced Snowflake’s Unistore workload, which continues Snowflake’s legacy of breaking down data silos by uniting transactional and analytical data in a consistent and governed platform. Today, we are pleased to announce that Hybrid Tables — the core feature powering Unistore — is in public preview in select AWS regions. Hybrid Tables is a new table type that enables transactional use cases within Snowflake with fast, high-concurrency point operations.

Change data capture (CDC) has long been one of the most popular, reliable, and quickest ways to connect your database tables into data streams. It is a powerful pattern and one of the most common and easiest ways to bootstrap data into Apache Kafka®. But it comes with a relatively significant drawback—it exposes your database’s internal data model to the downstream world.

An API’s main purpose is to allow multiple applications to communicate with one another. However, APIs can easily be made more secure and efficient through API gateways which provide a unified entry point across internal APIs. This unified entry point allows for greater control over user access and helps elevate API security measures like rate limiting while also applying security policies like OAuth or JWT. Plus, API gateways are extremely beneficial for securing microservices.

Gen AI is quickly reshaping industries, and the pace of innovation is incredible to witness. The introduction of ChatGPT, Microsoft Copilot, Midjourney, Stable Diffusion and many more incredible tools have opened up new possibilities we couldn’t have imagined 18 months ago. While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector.

Sifting through vast amounts of data for usable information is both challenging and time-consuming for independent software vendors (ISV) in today’s fast-paced market. But without a continuous search for timely insights, you risk your end-users missing critical business opportunities, or failing to address emerging issues in their data promptly, potentially leading to dissatisfaction and churn.